There is lack of human-annotated corpus in some language,which isn't used by a lot of people,it is a burning question for word segmentation in the situation of poor resource. This paper studied the unsupervised VE algorithm,and maximum match gap tagging. It proposed a method which combined the unsupervised word segmentation method and the maximum matching method,and implemented in the Chinese datasets. The method significantly increased the performance of maximum matching word segmentation method,and gave a...
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